Since the introduction of computing machines into companies and industries, searching large enterprise data is an open challenge including diverse and distributed datasets, missing alignment of vocabularies within divisions as well as data isolated in format silos. In this article, we report the requirements of commercial enterprises to the next generation of semantic search engine for large, distributed data. We describe our elicitation process to gather end user requirements, the challenges arising for real-world use cases as well as how such an implementation of this paradigm can be benchmarked. In the end, we present the design of the DIESEL search engine, which aims to implement the requirements of commercial enterprise to semantic search.